List of numSlices() Examples

Examples of numSlices()

cc.mallet.grmm.util.LabelsAssignment.numSlices()
edu.stanford.nlp.neural.SimpleTensor.numSlices()
Number of slices in the tensor

Examples of cc.mallet.grmm.util.LabelsAssignment.numSlices()

    // This isn't pretty, but I swear there's
    //  not an easy way...
    private void setupAlphabet (Instance inst)
    {
      LabelsAssignment lblseq = (LabelsAssignment) inst.getTarget ();
      factors = new TIntArrayList [lblseq.numSlices ()];
      for (int i = 0; i < lblseq.numSlices (); i++) {
        LabelAlphabet dict = lblseq.getOutputAlphabet (i);
        factors[i] = new TIntArrayList (dict.size ());
        for (int j = 0; j < dict.size (); j++) {
          int idx = alphabet.lookupIndex (dict.lookupObject (j));

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Examples of cc.mallet.grmm.util.LabelsAssignment.numSlices()

    //  not an easy way...
    private void setupAlphabet (Instance inst)
    {
      LabelsAssignment lblseq = (LabelsAssignment) inst.getTarget ();
      factors = new TIntArrayList [lblseq.numSlices ()];
      for (int i = 0; i < lblseq.numSlices (); i++) {
        LabelAlphabet dict = lblseq.getOutputAlphabet (i);
        factors[i] = new TIntArrayList (dict.size ());
        for (int j = 0; j < dict.size (); j++) {
          int idx = alphabet.lookupIndex (dict.lookupObject (j));
          factors[i].add (idx);

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Examples of cc.mallet.grmm.util.LabelsAssignment.numSlices()

    }


    public int numSlices ()
    {
      LabelsAssignment lblseq = (LabelsAssignment) instance.getTarget ();
      return lblseq.numSlices ();
    }


    // computes the residual of each factor, without actually changing this unrolled graph
    public double[] computeCurrentResids ()
    {

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Examples of cc.mallet.grmm.util.LabelsAssignment.numSlices()

    // This isn't pretty, but I swear there's
    //  not an easy way...
    private void setupAlphabet (Instance inst)
    {
      LabelsAssignment lblseq = (LabelsAssignment) inst.getTarget ();
      factors = new TIntArrayList [lblseq.numSlices ()];
      for (int i = 0; i < lblseq.numSlices (); i++) {
        LabelAlphabet dict = lblseq.getOutputAlphabet (i);
        factors[i] = new TIntArrayList (dict.size ());
        for (int j = 0; j < dict.size (); j++) {
          int idx = alphabet.lookupIndex (dict.lookupObject (j));

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Examples of cc.mallet.grmm.util.LabelsAssignment.numSlices()

    //  not an easy way...
    private void setupAlphabet (Instance inst)
    {
      LabelsAssignment lblseq = (LabelsAssignment) inst.getTarget ();
      factors = new TIntArrayList [lblseq.numSlices ()];
      for (int i = 0; i < lblseq.numSlices (); i++) {
        LabelAlphabet dict = lblseq.getOutputAlphabet (i);
        factors[i] = new TIntArrayList (dict.size ());
        for (int j = 0; j < dict.size (); j++) {
          int idx = alphabet.lookupIndex (dict.lookupObject (j));
          factors[i].add (idx);

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Examples of edu.stanford.nlp.neural.SimpleTensor.numSlices()

    SimpleMatrix[] slices = new SimpleMatrix[numSlices];
    for (int i = 0; i < numSlices; ++i) {
      slices[i] = loadMatrix(basePath + "bin/Wt_" + (i + 1) + ".bin", basePath + "Wt_" + (i + 1) + ".txt");
    }
    SimpleTensor tensor = new SimpleTensor(slices);
    System.err.println("W tensor size: " + tensor.numRows() + "x" + tensor.numCols() + "x" + tensor.numSlices());


    SimpleMatrix W = loadMatrix(basePath + "bin/W.bin", basePath + "W.txt");
    System.err.println("W matrix size: " + W.numRows() + "x" + W.numCols());


    SimpleMatrix Wcat = loadMatrix(basePath + "bin/Wcat.bin", basePath + "Wcat.txt");

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